Application of large-scale and multicohort plasma proteomics data to discover novel causal proteins in gastric cancer

This study identified several plasma proteins as potential biomarkers of GC and provided data support and new insights into the early diagnosis, intervention, and therapeutic targets of GC.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2024-10-18
DOI
https://doi.org/10.1007/s12672-024-01460-9
Citations
2
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of large-scale and multicohort plasma proteomics data to discover novel causal proteins in gastric cancer

Weihao Tang, Xiaoke Ma
2 citations
Discover Oncology
Genetic Associations and Epidemiology
1.10
article

Application of large-scale and multicohort plasma proteomics data to discover novel causal proteins in gastric cancer

Weihao Tang, Xiaoke Ma
article en
2 citations

Abstract

This study identified several plasma proteins as potential biomarkers of GC and provided data support and new insights into the early diagnosis, intervention, and therapeutic targets of GC.

Discover OncologyVol. 15(1)
Xidian University (CN), University of Florida (US)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 19%
Genetic Associations and Epidemiology
1.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.